Job Title

OverviewFull Stack ML Engineer at ALS. We are seeking a candidate to build and maintain robust, scalable web applications across frontend and backend systems. You will work hands-on with modern frameworks, cloud services, and databases to deliver high-quality features and improvements. You will collaborate with product managers, data scientists, ML engineers, and other engineers to translate business requirements into technical solutions that are reliable and future-ready.Key ResponsibilitiesTake over and manage all existing backend systems and infrastructure.Conduct thorough testing and debugging of web applications, ensuring high-quality deliverables.Assist in the design, deployment, and maintenance of machine learning models.Ensure smooth knowledge transfer and continuity as team members transition to other roles.Foster a collaborative, high-performance engineering culture.Architect, design, implement, and oversee backend systems, APIs, and data pipelines.Ensure systems are secure, scalable, and maintainable.Lead the adoption of best practices in software development, code quality, and testing.Own and manage our Azure infrastructure, ensuring cost efficiency, security, and scalability.Oversee Terraform-based Infrastructure as Code (IaC) deployments.Manage and optimize Machine Learning pipelines and MLOps workflows for model training, deployment, and monitoring.Implement and facilitate continuous integration and delivery processes.Collaborate with product and domain specialists, as well as frontend teams to align backend solutions with product needs.Plan and prioritize backend roadmap items.Provide regular progress updates to senior leadership.Required Knowledge, Skills & AbilitiesProven experience as a backend engineer with at least 3+ years in software development.Experience with containerization (Kubernetes, Docker).Strong expertise in Azure (Virtual Machines, Blob Storage, Azure Functions, API Management, ARM/Bicep/Terraform, Azure Active Directory, etc.).Experience in data-intensive or ML-driven products.Experience with Machine Learning pipelines and MLOps tools/workflows.Proficiency in Python for backend and data processing.Experience with Databases (SQL and NoSQL).Experience in Microservice architectures and distributed systems.Track record of delivering production-grade backend systems at scale.Strong understanding of security best practices and cloud cost optimization.An agile mindset and the ability to adapt to evolving needs in a fast-paced environment.Bachelor's / Masters degree in computer science, information systems, or a relevant quantitative discipline.Our Benefits IncludeAn estimated annual salary ranging from $100,000 - $120,000 at the time of posting. Individual compensation is determined by factors such as job-related skills, relevant experience, education and/or training.Comprehensive benefit package specific to your work status (including extended medical, dental, and vision coverage, access to company perks, life and disability insurance, retirement plan with company match, employee assistance and wellness programs)Additional vacation days for years of serviceBusiness support for education or training after 9 months with the companyLearning & development opportunities (unlimited access to e-learnings and more)Please note: Benefits vary based on employee status.Working at ALSThe ALS team is a diverse and dedicated community united by our passion to make a difference in the world. Our values shape how we work, how we treat each other and how we recognise excellence. We invest in our people with programs and opportunities that help you build a diverse career with us. We want everyone to have a safe, flexible and rewarding career that makes a positive impact on our people, the planet and our communities.Everyone MattersALS is proud to be an equal opportunity employer and is committed to fostering an inclusive work environment where the strengths and perspectives of each employee are both recognised and valued. Qualified candidates will be considered without regard to race, colour, religion, national origin, military or veteran status, gender, age, disabilities, sexual orientation, gender identity, pregnancy and pregnancy-related conditions, genetic information and any other characteristics protected by the law. We invite resumes from all interested parties, including women, First Nations Metis and Inuit persons, members of minority groups, and persons living with disabilities. Accommodation is available on request for candidates taking part in all aspects of the selection process.EligibilityTo be eligible to work at ALS you must be a Citizen or Permanent Resident of the country you are applying for, or either hold or be able to obtain, a valid working visa.How To ApplyPlease apply on-line and provide a cover letter and CV that best demonstrate your motivation and ability to meet the requirements of this role. #J-18808-Ljbffr